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Design of a precise ensemble expert system for crop yield prediction using machine learning analytics

Tripathi, Deeksha; Biswas, Saroj K. - In: Journal of forecasting 43 (2024) 8, pp. 3161-3176

Persistent link: https://www.econbiz.de/10015110616

The application of AdaBoost.M1 based on Ant Colony Optimization to classify the risk of delay in the pharmaceutical supply chain

Wyrembek, Mateusz - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 19 (2023) 2, pp. 263-275

Persistent link: https://www.econbiz.de/10014450171

Predicting KC-135R aircraft availability with aircraft metrics

Jordan, Johnathan A.; Etemadi, Amir; Grenn, Michael W. - In: IEEE transactions on engineering management : EM 69 (2022) 6,2, pp. 3864-3873

Persistent link: https://www.econbiz.de/10013548740

Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market

Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489

Persistent link: https://www.econbiz.de/10014439728

Estimating parameters of structural models using neural networks

Wei, Yanhao; Jiang, Zhenling - In: Marketing science 44 (2025) 1, pp. 102-128

Persistent link: https://www.econbiz.de/10015197209

Machine learning the carbon footprint of Bitcoin mining

Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-30

Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...

Persistent link: https://www.econbiz.de/10012821293

Customer segmentation in private banking sector using machine learning techniques

Smeureanu, Ion; Ruxanda, Gheorghe; Badea, Laura Maria - In: Journal of business economics and management 14 (2013) 5, pp. 923-939

Persistent link: https://www.econbiz.de/10010199073

An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm

Miguez, Geraldo; Xavier, Adilson Elias; Maculan F., Nelson - In: International transactions in operational research : … 21 (2014) 5, pp. 835-854

Persistent link: https://www.econbiz.de/10010413600

Combination forecasts of tourism demand with machine learning models

Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431

Persistent link: https://www.econbiz.de/10011430763

Exploring neural network models in understanding bilateral trade in APEC : a review of history and concepts

Quimba, Francis Mark A.; Barral, Mark Anthony A. - 2018

Machine Learning algorithms, such as the artificial neural networks, are acknowledged to outperform several econometric procedures in predictions. Machine learning becomes popular for doing operations that practically require more efficiency and accuracy, derived basically from the algorithm's...

Persistent link: https://www.econbiz.de/10011993791